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Explore how a Stanford spin-off is revolutionizing edge AI efficiency by applying brain-inspired computing principles in this 20-minute conference talk. Discover FemtoSense's approach to closing the massive efficiency gap between human intelligence, which operates on just 20 watts, and today's power-hungry AI systems. Learn how the company distills key neuromorphic concepts—sparse computing and spatial locality—into practical, manufacturable solutions rather than pursuing pure neuromorphic computing. Examine real-world applications including AI-powered hearing aids with 24-hour battery life, cloud-independent smart home devices, and dramatically extended runtimes for battery-powered products. Understand why "efficiency is the new currency" in AI development and how FemtoSense's innovations are making edge AI both smarter and more sustainable for real-world deployment.
